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https://issues.apache.org/jira/browse/HIVE-6761?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13950248#comment-13950248
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Hive QA commented on HIVE-6761:
-------------------------------



{color:red}Overall{color}: -1 at least one tests failed

Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12637047/HIVE-6761.1.patch

{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 5492 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestMinimrCliDriver.testCliDriver_auto_sortmerge_join_16
org.apache.hadoop.hive.cli.TestMinimrCliDriver.testCliDriver_root_dir_external_table
{noformat}

Test results: 
http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/1989/testReport
Console output: 
http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/1989/console

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 2 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12637047

> Hashcode computation does not use maximum parallelism for scalable dynamic 
> partitioning
> ---------------------------------------------------------------------------------------
>
>                 Key: HIVE-6761
>                 URL: https://issues.apache.org/jira/browse/HIVE-6761
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Query Processor
>    Affects Versions: 0.13.0, 0.14.0
>            Reporter: Prasanth J
>            Assignee: Prasanth J
>             Fix For: 0.13.0, 0.14.0
>
>         Attachments: HIVE-6761.1.patch
>
>
> Hashcode computation for HIVE-6455 should consider all the partitioning 
> columns and bucket number to distribute the rows. The following code 
> {code}
> for (int i = 0; i < partitionEval.length - 1; i++) {
> {code}
> ignores the last partition column thereby generating lesser hashcodes.



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